Full color generation with Fano-type resonant HfO2 nanopillars designed by a deep-learning approach-Reference-Cited by-同舟云学术

Full color generation with Fano-type resonant HfO2 nanopillars designed by a deep-learning approach

Published:2019 Issue:44 Volume:11 Page:21266-21274
ISSN:2040-3364
Container-title:Nanoscale
language:en
Short-container-title:Nanoscale

Author:

Hemmatyar Omid¹²³⁴^ORCID,Abdollahramezani Sajjad¹²³⁴,Kiarashinejad Yashar¹²³⁴,Zandehshahvar Mohammadreza¹²³⁴,Adibi Ali¹²³⁴

Affiliation:

1. School of Electrical and Computer Engineering

2. Georgia Institute of Technology

3. Atlanta

4. USA

Abstract

Here, for the first time to our knowledge, a Fano resonance metasurface made of HfO₂ is experimentally demonstrated to generate a wide range of colors. We use a novel deep-learning technique to design and optimize the metasurface.

Funder

Office of Naval Research

National Science Foundation

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science

Link

http://pubs.rsc.org/en/content/articlepdf/2019/NR/C9NR07408B

Reference42 articles.

1. Quantified interference and diffraction in single Morpho butterfly scales

2. Plasmonic colour generation

3. Flat optics with designer metasurfaces

4. Low-Contrast Dielectric Metasurface Optics

5. Metasurface optics for full-color computational imaging

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